News

Dell EMC announces new machine learning and deep learning solutions, continuing the company’s work to bring high performance computing (HPC) and data analytics capabilities to mainstream enterprises worldwide. This enables organizations to take advantage of the convergence of HPC and data analytics and realize advancements in areas including fraud detection, image processing, financial investment analysis and personalized medicine. These new innovations represent the next step in the company’s focus on democratizing HPC, optimizing data analytics with artificial intelligence (AI) technology innovations, and advancing both the HPC and AI communities.

While AI techniques, such as machine learning and deep learning, are rapidly being deployed by many organizations across several industries, only a small number possess the expertise to design, deploy and manage such systems to use them effectively for rapidly gaining new insights. By leveraging Dell EMC’s ecosystem of strong, curated partnerships and internal expertise in HPC and data analytics services, the company’s new solutions offer customers the ability to harness the power of the massive amounts of their collected data, delivering faster, better and deeper business insights in real-time.

NVIDIA is focused on advancing the world’s deep learning capabilities and ecosystem, and our joint innovation with Dell EMC plays an important role,” said Ian Buck, vice president and general manager, Accelerated Computing, NVIDIA. “With products and solutions that bring to life the powerful, deep learning capabilities of our Tesla V100 GPUs, our combined technologies offer customers faster discovery to help them make faster, smarter decisions with growing amounts of valuable data.”

Enabling the best path for machine and deep learning

As emerging technologies, enterprises often have difficulty knowing where to begin to get the most out of their machine and deep learning solutions. To help them benefit from machine or deep learning, quickly and efficiently, Dell EMC offers customers HPC solutions focused on specific use cases and business problems backed by industry and HPC expertise and guidance.

Combined with knowledge from Dell EMC experts, the new Dell EMC Machine and Deep Learning Ready Bundles are part of a new portfolio that delivers on the commitment of democratizing HPC and helping customers achieve faster, better and deeper data insights. These Ready Bundles combine pre-tested and validated servers, storage, networking and services optimized for machine and deep learning applications. The new Ready Bundles:

Enable faster, better, deeper data insights: Identifying, analyzing and automating data patterns empowers customers to do more with their data in a wide range of applications such as facial recognition for security, tumor diagnosis in healthcare, and better understanding of human behaviors in the retail industry.

Include trusted experts: Using the knowledge and experience of Dell EMC and its strong ecosystem of technology partners helps customers get the most out of machine and deep learning solutions quickly.

Dell EMC Ready Bundles for Machine and Deep Learning will help mainstream enterprises worldwide get a competitive advantage from these capabilities on-premises and in hybrid cloud environments.

Dell EMC Deep Learning Ready Bundle customers will benefit from the introduction of the new Dell EMC PowerEdge C4140 server, supporting latest generation NVIDIA Tesla V100 GPU accelerators with PCIe and NVLink high-speed interconnect technology. This new offering is an example of the Dell EMC and NVIDIA strategic agreement for joint development of new HPC, data analytics, and artificial intelligence products and solutions.

Dell EMC also plans to introduce Ready Bundles working closely with Intel technology. Dell EMC and Intel have embarked on a Joint Innovation Agreement to collaborate on advancing artificial intelligence, machine learning and deep learning.

Our customers consistently tell us that one of their biggest challenges is how to best manage and learn from the ever-increasing amount of data they collect daily,” said Armughan Ahmad, senior vice president/general manager, Hybrid Cloud and Ready Solutions, Dell EMC. “With Dell EMC’s high performance computing experience, we’ve seen how our artificial intelligence solutions can deliver critical insights from this data, faster than ever before possible. Working with our strategic technology partners, we’re able to bring these powerful capabilities to all enterprises. When you think about what this means for industries like financial services or personalized medicine, the possibilities are endless and exciting.”

Accelerate time to insights with Dell EMC PowerEdge

The new Dell EMC PowerEdge C4140 server is an ultra-dense, accelerator optimized server platform with an innovative systems design. The PowerEdge C4140 features two Intel Xeon® Scalable Processors and four NVIDIA Tesla GPUs to deliver optimized performance for demanding cognitive workloads. The new PowerEdge C4140’s acceleration technology is ideal for intensive machine learning and deep learning applications to drive advances in scientific imaging, oil and gas exploration, financial services and other HPC industry verticals.

Dell EMC’s new machine and deep learning solutions build on experience gained in collaborations with customers leading research that maximizes the value from machine learning.

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin actively has conducted research to identify brain tumors using machine learning as one of the first applications of its new “Stampede2” supercomputer with Intel Xeon Phi 7250 processors across 4,200 nodes connected with Intel Omni-Path Fabric. This system was developed in collaboration with Dell EMC, Intel and Seagate and ranks No. 12 on the TOP500 list of the most powerful computer systems worldwide.

Additionally, Simon Fraser University’s “Cedar” supercomputer was built for big data, including artificial intelligence, with 146 Dell EMC PowerEdge C4130 servers with NVIDIA Tesla P100 GPUs. Canada’s most powerful academic supercomputer ranks No. 94 on the TOP500 and No. 13 on the Green500, helping researchers chart new territory across several areas. University researchers use Cedar to study the continually changing DNA code in bacteria, with public health agencies worldwide, implementing faster and more effective infectious disease control measures.

Availability

The Dell EMC Ready Bundles for Machine Learning and Deep Learning will be available in the first half of 2018 through Dell EMC and its channel partners.

Dell EMC PowerEdge C4140 will be available worldwide in December 2017.